| adcoord | Asymmetric discriminant coordinates |
| ancoord | Asymmetric neighborhood based discriminant coordinates |
| awcoord | Asymmetric weighted discriminant coordinates |
| batcoord | Bhattacharyya discriminant projection |
| bhattacharyya.dist | Bhattacharyya distance between Gaussian distributions |
| bhattacharyya.matrix | Matrix of pairwise Bhattacharyya distances |
| calinhara | Calinski-Harabasz index |
| can | Generation of the tuning constant for regression fixed point... |
| cat2bin | Recode nominal variables to binary variables |
| cdbw | CDbw-index for cluster validation |
| cgrestandard | Standardise cluster validation statistics by random... |
| classifdist | Classification of unclustered points |
| clucols | Sets of colours and symbols for cluster plotting |
| clujaccard | Jaccard similarity between logical vectors |
| clusexpect | Expected value of the number of times a fixed point cluster... |
| clustatsum | Compute and format cluster validation statistics |
| clusterbenchstats | Run and validate many clusterings |
| clusterboot | Clusterwise cluster stability assessment by resampling |
| cluster.magazine | Run many clustering methods on many numbers of clusters |
| cluster.stats | Cluster validation statistics |
| cluster.varstats | Variablewise statistics for clusters |
| cmahal | Generation of tuning constant for Mahalanobis fixed point... |
| concomp | Connectivity components of an undirected graph |
| confusion | Misclassification probabilities in mixtures |
| cov.wml | Weighted Covariance Matrices (Maximum Likelihood) |
| cqcluster.stats | Cluster validation statistics (version for use with... |
| cvnn | Cluster validation based on nearest neighbours |
| cweight | Weight function for AWC |
| dbscan | DBSCAN density reachability and connectivity clustering |
| dipp.tantrum | Simulates p-value for dip test |
| diptest.multi | Diptest for discriminant coordinate projection |
| discrcoord | Discriminant coordinates/canonical variates |
| discrete.recode | Recodes mixed variables dataset |
| discrproj | Linear dimension reduction for classification |
| distancefactor | Factor for dissimilarity of mixed type data |
| distcritmulti | Distance based validity criteria for large data sets |
| distrsimilarity | Similarity of within-cluster distributions to normal and... |
| dridgeline | Density along the ridgeline |
| dudahart2 | Duda-Hart test for splitting |
| extract.mixturepars | Extract parameters for certain components from mclust |
| findrep | Finding representatives for cluster border |
| fixmahal | Mahalanobis Fixed Point Clusters |
| fixreg | Linear Regression Fixed Point Clusters |
| flexmixedruns | Fitting mixed Gaussian/multinomial mixtures with flexmix |
| fpclusters | Extracting clusters from fixed point cluster objects |
| fpc-package | fpc package overview |
| itnumber | Number of regression fixed point cluster iterations |
| jittervar | Jitter variables in a data matrix |
| kmeansCBI | Interface functions for clustering methods |
| kmeansruns | k-means with estimating k and initialisations |
| lcmixed | flexmix method for mixed Gaussian/multinomial mixtures |
| localshape | Local shape matrix |
| mahalanodisc | Mahalanobis for AWC |
| mahalanofix | Mahalanobis distances from center of indexed points |
| mahalconf | Mahalanobis fixed point clusters initial configuration |
| mergenormals | Clustering by merging Gaussian mixture components |
| mergeparameters | New parameters from merging two Gaussian mixture components |
| minsize | Minimum size of regression fixed point cluster |
| mixdens | Density of multivariate Gaussian mixture, mclust... |
| mixpredictive | Prediction strength of merged Gaussian mixture |
| mvdcoord | Mean/variance differences discriminant coordinates |
| ncoord | Neighborhood based discriminant coordinates |
| neginc | Neg-entropy normality index for cluster validation |
| nselectboot | Selection of the number of clusters via bootstrap |
| pamk | Partitioning around medoids with estimation of number of... |
| piridge | Ridgeline Pi-function |
| piridge.zeroes | Extrema of two-component Gaussian mixture |
| plotcluster | Discriminant projection plot. |
| plot.valstat | Simulation-standardised plot and print of cluster validation... |
| prediction.strength | Prediction strength for estimating number of clusters |
| randcmatrix | Random partition matrix |
| randconf | Generate a sample indicator vector |
| randomclustersim | Simulation of validity indexes based on random clusterings |
| regmix | Mixture Model ML for Clusterwise Linear Regression |
| rFace | "Face-shaped" clustered benchmark datasets |
| ridgeline | Ridgeline computation |
| ridgeline.diagnosis | Ridgeline plots, ratios and unimodality |
| simmatrix | Extracting intersections between clusters from fpc-object |
| solvecov | Inversion of (possibly singular) symmetric matrices |
| sseg | Position in a similarity vector |
| stupidkaven | Stupid average dissimilarity random clustering |
| stupidkcentroids | Stupid k-centroids random clustering |
| stupidkfn | Stupid farthest neighbour random clustering |
| stupidknn | Stupid nearest neighbour random clustering |
| tdecomp | Root of singularity-corrected eigenvalue decomposition |
| tonedata | Tone perception data |
| unimodal.ind | Is a fitted denisity unimodal or not? |
| valstat.object | Cluster validation statistics - object |
| weightplots | Ordered posterior plots |
| wfu | Weight function (for Mahalabobis distances) |
| xtable | Partition crosstable with empty clusters |
| zmisclassification.matrix | Matrix of misclassification probabilities between mixture... |
